Fibroblast growth factor receptor 3 (FGFR3) is one of the most frequently altered genes in bladder cancer, primarily through activating mutations that drive oncogenesis and are enriched in luminal tumors. However, the underlying gene regulatory network (GRN) remains poorly characterized. Here, we constructed an FGFR3-mutated GRN using a bottom-up bioinformatics approach, integrating transcriptomic data from bladder cancer cell lines, FGFR3-mutated tumors, and FGFR3 perturbation experiments in human and mouse models. Using publicly available CRISPR/Cas9 screening data, we identified transcription factors from this GRN that regulate the viability of FGFR3-mutated cells, with a focus on p63 (TP63). We showed that FGFR3 activation upregulates p63 in patient-derived xenografts and cell lines, while single-cell RNA sequencing revealed heterogeneous p63 activation associated with basal differentiation. Functional studies, including TP63 knockdown in FGFR3-dependent in vitro and in vivo models and RNA-seq along with p63 ChIP-seq, demonstrated that p63 directly promotes cell proliferation and migration and uncovered a positive feedback loop between FGFR3 and p63. Together, these findings support p63 as a protumorigenic regulator in FGFR3-mutated tumors despite their luminal differentiation and provide a detailed FGFR3-driven GRN, offering insights into FGFR3-induced oncogenic dependency and potential strategies to circumvent resistance to FGFR inhibitors.
Aura Moreno-Vega, Macarena Zambrano, Lilia Estrada-Virrueta, Xiangyu Meng, Julia Puig, Helene Neyret-Kahn, Mingjun Shi, Florent Dufour, Guerric Gilbert, Ke Li, Clarice Groeneveld, Jacqueline Fontugne, Mercedes Pérez-Escavy, Wajdi Dhifli, Clément Hua, Luc Cabel, Clémentine Krucker, Laura Tanguy, Sia Viborg Lindskrog, Claire Beraud, Yanina V. Langle, Tao Ye, Fariza Tahi, Irwin Davidson, Jesus M. Paramio, Lars Dyrskjøt, Yves Allory, Philippe Lluel, Ana Maria Eiján, Mohamed Elati, François Radvanyi, Catalina Lodillinsky, Isabelle Bernard-Pierrot
Usage data is cumulative from August 2026 through August 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 250 | 0 |
| 31 | 0 | |
| Figure | 58 | 0 |
| Supplemental data | 61 | 0 |
| Citation downloads | 14 | 0 |
| Totals | 414 | 0 |
| Total Views | 414 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.